Augment data with information from a(n) Mclust object
Augment data with information from a(n) statistical object
Augment data with information from a(n) betareg object
Augment data with information from a(n) coxph object
Augment data with information from a(n) decomposed.ts object
Augment data with information from a(n) factanal object
Augment data with information from a(n) felm object
Augment data with information from a(n) htest object
Augment data with information from a(n) ivreg object
Augment data with information from a(n) kmeans object
Augment data with information from a(n) lm object
Augment data with information from a(n) mjoint object
Augment data with information from a(n) nls object
Augment data with information from a(n) plm object
Augment data with information from a(n) poLCA object
Augment data with information from a(n) prcomp object
Augment data with information from a(n) rq object
Augment data with information from a(n) rqs object
Augment data with information from a(n) speedlm object
Augment data with information from a(n) stl object
Augment data with information from a(n) survreg object
add fitted values, residuals, and other common outputs to an augment call
Set up bootstrap replicates of a dplyr operation
Convert Statistical Objects into Tidy Tibbles
Calculate confidence interval as a tidy data frame
Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages
Add logLik, AIC, BIC, and other common measurements to a glance of a prediction
Ensure an object is a data frame, with rownames moved into a column
Construct a single row summary "glance" of a model, fit, or other object
Tidy a(n) optim object masquerading as list
insert a row of NAs into a data frame wherever another data frame has NAs
Tidying methods for lists / returned values that are not S3 objects
Tidying methods for mixed effects models
Tidying methods for MCMC (Stan, JAGS, etc.) fits
Tidying methods for ordinal logistic regression models
Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results
Tidy a sparseMatrix object from the Matrix package
Tidying methods for multinomial logistic regression models
Tidy a(n) irlba object masquerading as list
Tidy a(n) svd object masquerading as list
Tidy a(n) xyz object masquerading as list